QtiPlot 0.9.8 project file
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FitStats1	100	3	03/12/24 15:41:39
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<log>
[03/12/24 15:37:23	Plot: ''Graph1'']
Non-linear Fit of dataset: Table1_2, using function: tv+(t0-tv)*exp(-k*x)
Weighting Method: No weighting
Scaled Levenberg-Marquardt algorithm with tolerance = 0.0001
From x = 0.0000000000000e+00 to x = 3.0000000000000e+03
k = 2.3158294516257e-03 +/- 1.0832131991599e-04
t0 = 2.3094451963179e+01 +/- 5.7858736030603e-01
tv = -7.8539440395930e+00 +/- 3.4862015785399e-01
--------------------------------------------------------------------------------------
Chi^2/doF = 3.6613373260779e-01
R^2 = 0.9974862320829
Adjusted R^2 = 0.9959779713326
RMSE (Root Mean Squared Error) = 0.6050898549867
RSS (Residual Sum of Squares) = 2.196802395647
---------------------------------------------------------------------------------------
Iterations = 3
Status = success
---------------------------------------------------------------------------------------
[03/12/24 15:41:30	Plot: ''Graph1'']
Non-linear Fit of dataset: Table1_2, using function: tv+(t0-tv)*exp(-k*x)
Weighting Method: No weighting
Scaled Levenberg-Marquardt algorithm with tolerance = 0.0001
From x = 0.0000000000000e+00 to x = 3.0000000000000e+03
k = 2.3158294516257e-03 +/- 1.0832131991599e-04
t0 = 2.3094451963179e+01 +/- 5.7858736030603e-01
tv = -7.8539440395930e+00 +/- 3.4862015785399e-01
--------------------------------------------------------------------------------------
Chi^2/doF = 3.6613373260779e-01
R^2 = 0.9974862320829
Adjusted R^2 = 0.9959779713326
RMSE (Root Mean Squared Error) = 0.6050898549867
RSS (Residual Sum of Squares) = 2.196802395647
---------------------------------------------------------------------------------------
Iterations = 3
Status = success
---------------------------------------------------------------------------------------
</log>